MCSA SQL Server 2012 / 2014 Combo Training & Certification Package

The MCSA SQL Server 2012 / 2014 training and certification bundle is a complete solution for you learn SQL and pass the 3 exams required to achieve the Microsoft official MCSA SQL Server certification. This bundle includes 3 Microsoft Official Courses (20461, 20462 & 20463) and 3 Microsoft Exam Vouchers (70-461, 70-462 & 70-463). This course is a complete end to end training solution for administration, query and basic Business Intelligence (SSIS migration / integration) training.

Price Includes –

90 Day Subscription to each course – Microsoft Official Video On Demand Training
90 Day Data Center Hosted for each course – Microsoft Official Hands On Labs
Three – Microsoft Official Digital Courseware (No expiration)
Three – Microsoft Exam Vouchers

Overview

This course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2014. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. The main purpose of the course is to prepare people for the exam “70-461: Writing Queries Using Microsoft® SQL Server® 2014 Transact-SQL.” This exam will be the underlying exam for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals..

Audience profile

This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren’t necessarily database-focused or plan on taking the exam; namely, report writers, business analysts and client application developers.

At course completion

After completing this course, students will be able to:
Describe the basic architecture and concepts of Microsoft SQL Server 2014.
Understand the similarities and differences between Transact-SQL and other computer languages.
Write SELECT queries
Query multiple tables
Sort and filter data
Describe the use of data types in SQL Server
Modify data using Transact-SQL
Use built-in functions
Group and aggregate data
Use subqueries
Use table expressions
Use set operators
Use window ranking, offset and aggregate functions
Implement pivoting and grouping sets
Execute stored procedures
Program with T-SQL
Implement error handling
Implement transactions

This course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2014 database. The course focuses on teaching individuals how to use SQL Server 2014 product features and tools related to maintaining a database.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Audience profile

The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job.

The secondary audience for this course is individuals who develop applications that deliver content from SQL Server databases.

This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Audience profile

This course is intended for database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Primary responsibilities include:

This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.

Lessons

The Basic Architecture of SQL Server

SQL Server Editions and Versions

Getting Started with SQL Server Management Studio

Lab : Working with SQL Server 2014 Tools

After completing this module, you will be able to:

Describe the architecture and editions of SQL Server 2012.

Work with SQL Server Management Studio.

Module 2: Introduction to T-SQL Querying

This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.

Lessons

Introducing T-SQL

Understanding Sets

Understanding Predicate Logic

Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to Transact-SQL Querying

After completing this module, you will be able to:

Describe the elements of T-SQL and their role in writing queries

Describe the use of sets in SQL Server

Describe the use of predicate logic in SQL Server

Describe the logical order of operations in SELECT statements

Module 3: Writing SELECT Queries

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons

Writing Simple SELECT Statements

Eliminate Duplicates with DISTINCT

Using Column and Table Aliases

Write Simple CASE Expressions

Lab : Writing Basic SELECT Statements

After completing this module, you will be able to:

Write simple SELECT statements.

Eliminate duplicates using the DISTINCT clause.

Use column and table aliases.

Write simple CASE expressions.

Module 4: Querying Multiple Tables

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

Lessons

Understanding Joins

Querying with Inner Joins

Querying with Outer Joins

Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

Describe how multiple tables may be queried in a SELECT statement using joins.

Write queries that use inner joins.

Write queries that use outer joins.

Write queries that use self-joins and cross joins.

Module 5: Sorting and Filtering Data

This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

Lessons

Sorting Data

Filtering Data with Predicates

Filtering with the TOP and OFFSET-FETCH

Working with Unknown Values

Lab : Sorting and Filtering Data

After completing this module, you will be able to:

Filter data with predicates in the WHERE clause.

Sort data using ORDER BY.

Filter data in the SELECT clause with TOP.

Filter data with OFFSET and FETCH.

Module 6: Working with SQL Server 2014 Data Types

This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.

Lessons

Introducing SQL Server 2014 Data Types

Working with Character Data

Working with Date and Time Data

Lab : Working with SQL Server 2014 Data Types

After completing this module, you will be able to:

Describe numeric data types, type precedence and type conversions.

Write queries using character data types.

Write queries using date and time data types.

Module 7: Using DML to Modify Data

This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.

Lessons

Inserting Data

Modifying and Deleting Data

Lab : Using DML to Modify Data

After completing this module, you will be able to:

Insert new data into your tables.

Update and delete existing records in your tables.

Module 8: Using Built-In Functions

This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

Lessons

Writing Queries with Built-In Functions

Using Conversion Functions

Using Logical Functions

Using Functions to Work with NULL

Lab : Using Built-In Functions

After completing this module, you will be able to:

Write queries with built-in scalar functions.

Use conversion functions.

Use logical functions.

Use functions that work with NULL.

Module 9: Grouping and Aggregating Data

This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module 11: Using Table Expressions

This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.

This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets

Lessons

Writing Queries with the UNION Operator

Using EXCEPT and INTERSECT

Using APPLY

Lab : Using Set Operators

After completing this module, you will be able to:

Write queries which combine data using the UNION operator

Write queries which compare sets using the INTERSECT and EXCEPT operators

Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function

Module 13: Using Window Ranking, Offset, and Aggregate Functions

This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.

Lessons

Creating Windows with OVER

Exploring Window Functions

Lab : Using Window Ranking, Offset and Aggregate Functions

After completing this module, you will be able to:

Describe the benefits to using window functions.

Restrict window functions to rows defined in an OVER clause, including partitions and frames.

Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.

Module 14: Pivoting and Grouping Sets

This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.

Lessons

Writing Queries with PIVOT and UNPIVOT

Working with Grouping Sets

Lab : Pivoting and Grouping Sets

After completing this module, you will be able to:

Write queries which pivot and unpivot result sets.

Write queries which specify multiple groupings with grouping sets.

Module 15: Querying data with Stored Procedures

This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to invoke system stored procedures.

Lessons

Writing Queries with PIVOT and UNPIVOT

Passing Parameters to Stored Procedures

Creating Simple Stored Procedures

Working with Dynamic SQL

Lab : Executing Stored Procedures

After completing this module, you will be able to:

Return results by executing stored procedures.

Pass parameters to procedures.

Create simple stored procedures which encapsulate a SELECT statement.

Construct and execute dynamic SQL with EXEC and sp_executesql.

Module 16: Programming with T-SQL

This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.

Lessons

T-SQL Programming Elements

Controlling Program Flow

Lab : Programming with T-SQL

After completing this module, you will be able to:

Describe the language elements of T-SQL used for simple programming tasks.

Describe batches and how they are handled by SQL Server.

Declare and assign variables and synonyms.

Use IF and WHILE blocks to control program flow.

Module 17: Implementing Error Handling

This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.

Lessons

Using TRY / CATCH Blocks

Working with Error Information

Lab : Implementing Error Handling

After completing this module, you will be able to:

Describe SQL Server’s behavior when errors occur in T-SQL code.

Implement structured exception handling in T-SQL.

Return information about errors from system objects.

Raise user-defined errors and pass system errors in T-SQL code.

Module 18: Implementing Transactions

This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN, COMMIT and ROLLBACK.

Lessons

Transactions and the Database Engine

Controlling Transactions

Lab : Implementing Transactions

After completing this module, you will be able to:

Describe transactions and the differences between batches and transactions.

Describe batches and how they are handled by SQL Server.

Create and manage transactions with transaction control language statements.

This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server

Lessons

Factors in Query Performance

Displaying Query Performance Data

Lab : Improving Query Performance

After completing this module, you will be able to:

Describe components of well-performing queries.

Display and interpret basic query performance data

Module 20: Appendix 2: Querying SQL Server Metadata

SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In this module, you will learn how to write queries to return system metadata using these mechanisms.

Lessons

Querying System Catalog Views and Functions

Executing System Stored Procedures

Querying Dynamic Management Objects

Lab : Querying SQL Server Metadata

After completing this module, you will be able to:

Write queries that retrieve system metadata using system views and functions.

Execute system stored procedures to return system information.

Write queries that retrieve system metadata and state information using system dynamic management views and functions.

Module 1: Introduction to Data Warehousing

This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.

This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Lessons

Introduction to ETL with SSIS

Exploring Data Sources

Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

After completing this module, you will be able to:

Describe the key features of SSIS.

Explore source data for an ETL solution.

Implement a data flow by using SSIS

Module 5: Implementing Control Flow in an SSIS Package

This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.

Lessons

Introduction to Control Flow

Creating Dynamic Packages

Using Containers

Managing Consistency

Lab : Implementing Control Flow in an SSIS PackageLab : Using Transactions and Checkpoints

After completing this module, you will be able to:

Implement control flow with tasks and precedence constraints

Create dynamic packages that include variables and parameters

Use containers in a package control flow

Enforce consistency with transactions and checkpoints

Module 6: Debugging and Troubleshooting SSIS Packages

This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

Lessons

Debugging an SSIS Package

Logging SSIS Package Events

Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package

After completing this module, you will be able to:

Debug an SSIS package

Implement logging for an SSIS package

Handle errors in an SSIS package

Module 7: Implementing an Incremental ETL Process

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons

Introduction to Incremental ETL

Extracting Modified Data

Loading Modified data

Lab : Extracting Modified DataLab : Loading Incremental Changes

After completing this module, you will be able to:

Plan data extraction

Extract modified data

Module 8: Enforcing Data Quality

This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.

Lessons

Introduction to Data Quality

Using Data Quality Services to Cleanse Data

Using Data Quality Services to Match data

Lab : Cleansing DataLab : De-duplicating data

After completing this module, you will be able to:

Describe how Data Quality Services can help you manage data quality

Use Data Quality Services to cleanse your data

Use Data Quality Services to match data

Module 9: Using Master Data Services

Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.

Lessons

Master Data Services Concepts

Implementing a Master Data Services Model

Managing Master Data

Creating a Master Data Hub

Lab : Implementing Master Data Services

After completing this module, you will be able to:

Describe key Master Data Services concepts

Implement a Master Data Services model

Use Master Data Services tools to manage master data

Use Master Data Services tools to create a master data hub

Module 10: Extending SQL Server Integration Services

This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.

Lessons

Using Scripts in SSIS

Using Custom Components in SSIS

Lab : Using Custom Components and Scripts

After completing this module, you will be able to:

Include custom scripts in an SSIS package

Describe how custom components can be used to extend SSIS

Module 11: Deploying and Configuring SSIS Packages

In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.

Lessons

Overview of SSIS Deployment

Deploying SSIS Projects

Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

After completing this module, you will be able to:

Describe considerations for SSIS deployment.

Deploy SSIS projects.

Plan SSIS package execution.

Module 12: Consuming Data in a Data Warehouse

This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.

Lessons

Introduction to Business Intelligence

Introduction to Reporting

An Introduction to Data Analysis

Lab : Using Business Intelligence Tools

After completing this module, you will be able to:

Describe BI and common BI scenarios

Describe how a data warehouse can be used in enterprise BI scenarios

Describe how a data warehouse can be used in self-service BI scenarios

This combo course includes the Microsoft Official courseware and exam vouchers for you to test and certify for the Microsoft Official MCSA SQL Server certification.

Exams covered / vouchers provided for the following exams –

70-461 Querying Microsoft SQL Server

70-462 Administering a Microsoft SQL Server Database

70-463 Implementing Data Warehouses with Microsoft SQL Server

Microsoft Official Courses

20461, 20462 & 20463

About this Course

Audience(s)

IT Professionals

Length

90 Day Access

Level

100

Technology

SQL Server

This combo course is a complete end to end solution for learning the skills needed to administer an SQL 2012 / 2014 Server environment. The prerequisites for this camp are basic / foundation skills of SQL and the Microsoft Windows Server OS.

Working knowledge of relational databases.

Basic knowledge of the Microsoft Windows operating system and its core functionality